Abstract: Large language models (LLMs) achieve advanced capabilities in natural language processing (NLP) through pre-training on massive data, suggesting that LLMs have great potential to enhance ...
Traffic State Estimation for Connected Vehicles Using the Second-Order Aw-Rascle-Zhang Traffic Model
Abstract: This paper addresses the problem of traffic state estimation (TSE) in the presence of heterogeneous sensors which include both fixed and moving sensors. Traditional fixed sensors are ...
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